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Optimising trial designs to identify appropriate antibiotic treatment durations

Overview of attention for article published in BMC Medicine, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

33 tweeters
1 Facebook page


5 Dimensions

Readers on

23 Mendeley
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Optimising trial designs to identify appropriate antibiotic treatment durations
Published in
BMC Medicine, June 2019
DOI 10.1186/s12916-019-1348-z
Pubmed ID

Koen B. Pouwels, Mo Yin, Christopher C. Butler, Ben S. Cooper, Sarah Wordsworth, A. Sarah Walker, Julie V. Robotham

Twitter Demographics

The data shown below were collected from the profiles of 33 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Researcher 3 13%
Student > Master 2 9%
Student > Doctoral Student 2 9%
Student > Bachelor 1 4%
Other 1 4%
Unknown 9 39%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Immunology and Microbiology 3 13%
Mathematics 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 4 17%
Unknown 8 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 November 2019.
All research outputs
of 16,545,042 outputs
Outputs from BMC Medicine
of 2,615 outputs
Outputs of similar age
of 267,620 outputs
Altmetric has tracked 16,545,042 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,615 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.3. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,620 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.